Efficiently mining association rules based on maximum single constraints

Efficiently mining association rules based on maximum single constraints

Abstract A serious problem encountered during the mining of association rules is the exponential growth of their cardinality. Unfortunately, the known algorithms for mining association rules typically generate scores of redundant and duplicate rules. Thus, we not only waste CPU but also encounter di...

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Bibliographic Details
Main Authors: Anh Tran, Tin Truong, Bac Le
Format: Article
Language:English
Published: World Scientific Publishing 2017-05-01
Series:Vietnam Journal of Computer Science
Subjects:
Association rules
Frequent itemsets
Closed frequent itemsets
Closed lattice
Generators
Constraints
Online Access:http://link.springer.com/article/10.1007/s40595-017-0096-2

Internet

http://link.springer.com/article/10.1007/s40595-017-0096-2

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